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Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. However, there are few stu
Socialstyrelsens Powerpointmall Data handling and register data - pitfalls and challenges, consequences after the GDPR legislation John Kling Henrik Nordin Registerservice • Databeställningar (ca 1000 per år) • Forskning • Statistik • Kvalitetsregister • Stöd till externa dataanvändare • Stöd till kvalitetsregister • Ingång för externa dataanvändare Lag (1998:543) om hälsodataregister • Regeringen
https://www.epihealth.lu.se/sites/epihealth.lu.se/files/2022-09/20220909%20Lund.pdf - 2026-07-15
Background: Vietnam has achieved considerable success in economic development, poverty reduction, and health over a relatively short period of time. However, there is concern that inequalities in health outcomes and intervention coverage are widening. This study explores if inequalities in reproductive, maternal, newborn and child health and nutrition changed over time in Vietnam in 1997-2006, and
Mapping coastal inlets and their catchment areas is essential for management of the coastal zone. The coastal inlets are important channels of exchange of nutrients, water and sediment between the land and sea. They are also important elements of the coastal hydrological system and play a vital role in controlling the water flow into the sea during floods. Blocking of the coastal inlets is one of
Alla verksamheter som behandlar personuppgifter, men en anknytning till EU, måste uppfylla kravet på laglighet i GDPR. En särskilt viktig laglig grund i praktiken utgörs av artikel 6.1(f) GDPR. I korthet följer av artikeln att en av-vägning måste göras mellan den personuppgiftsansvariges berättigade intresse och den registrerades intressen och grundläggande rättigheter. Idag använder allt fler föAny businesses that process personal data, with a connection to the EU, must fulfill the legality requirement of the GDPR. A particularly important legal basis in practice is Article 6.1(f) GDPR. In short, the article requires a balance to be struck between the legitimate interest of the controller and the fundamental rights and interests of the data subject. Today, more and more companies are u
Analyzing genomic data across populations is central to understanding the role of genetic factors in health and disease. Successful data sharing relies on public support, which requires attention to whether people around the world are willing to donate their data that are then subsequently shared with others for research. However, studies of such public perceptions are geographically limited and d
During the last decades the forest damage in the Black triangle region (where the borders of the Czech Republic, Germany and Poland meet) has increased rapidly. Many attempts to explain the widely spread damage has been done. To quantify the risk of damage, the expression "critical level" has been introduced. Critical level is the highest concentration of an acidifying compound that the
Context. The first release of astrometric data from Gala will contain the mean stellar positions and magnitudes from the first year of observations, and proper motions from the combination of Gala data with HIPPARCOS prior information (HTPM). Aims. We study the potential of using the positions from the Tycho-2 Catalogue as additional information for a joint solution with early Gala data. We call t
Purpose The thesis examines the use of Big Data Analytics by audit firms. The purpose of the study is to establish the impact of this new audit technology in practice. Three research questions are developed. The first question investigates how BDA is impacting the audit process. The second research question analyses how the use of BDA is affecting the application of professional judgement by audit
In recent years, application of ensemble models has been increased tremendously in various types of natural hazard assessment such as landslides and floods. However, application of this kind of robust models in groundwater potential mapping is relatively new. This study applied four data mining algorithms including AdaBoost, Bagging, generalized additive model (GAM), and Naive Bayes (NB) models to
BACKGROUND: A long-term trend of increasing mental health problems among adolescents in many Western countries indicates a great need to investigate if and how societal changes have contributed to the reported increase. Using seven waves of repeated cross-sectional data collected between 1988 and 2008 in Sweden, the current study examined if economic factors at the societal level (municipality une
Monitoring crop growth and estimating crop yield are essential for managing agricultural production, ensuring food security, and maintaining sustainable agricultural development. Combining the mechanistic framework of a crop growth model with remote sensing observations can provide a means of generating realistic and spatially detailed crop growth information that can facilitate accurate crop yiel
The growing use of digital tools in archaeological practice has led to a proliferation of data. Concerns regarding how to best manage and store these significant volumes of archaeological data have been addressed by the development of digital research data infrastructures which function to ensure the long-term preservation of archaeological information and make it available for reuse. Recent Open
Flooding of coastal infrastructure due to rising sea levels and storm surges can be mitigated by coastal protection. The design of such infrastructure depends not only on the storm surge still-water level but also strongly on storm-wave characteristics. Therefore, numerical wave modelling is essential in the absence of wave observations. Fetch-limited seas with low moderate wave-energy climates ar
The problem: wearable eye trackers deliver eye-tracking data on a scene video that is acquired by a camera affixed to the participant’s head. Analyzing and interpreting such head-centered data is difficult and laborious manual work. Automated methods to map eye-tracking data to a world-centered reference frame (e.g., screens and tabletops) are available. These methods usually make use of fiducial
Although the information obtained from in vivo proton magnetic resonance spectroscopy (1H MRS) presents a complex-valued spectrum, spectral quantification generally employs linear combination model (LCM) fitting using the real spectrum alone. There is currently no known investigation comparing fit results obtained from LCM fitting over the full complex data versus the real data and how these resulAlthough the information obtained from in vivo proton magnetic resonance spectroscopy (1H MRS) presents a complex-valued spectrum, spectral quantification generally employs linear combination model (LCM) fitting using the real spectrum alone. There is currently no known investigation comparing fit results obtained from LCM fitting over the full complex data versus the real data and how these resul
BACKGROUND: The increasing need for long-term care as well as diminished financial resources may compromise the quality of care of older people. Thus the need for clinically based quality of care monitoring to guide development of long-term services has been pointed out. OBJECTIVES: The aim of this study was to investigate trends in quality of care during 2003-2009 as reflected in the Minimum
The empirical prediction of outcomes in competitive sports, particularly basketball, remains a complex challenge due to inherent game variability and the difficulty in discerning replicable strategic adaptations from random fluctuations, especially in the case of unexpected results ("upsets"). This thesis addresses this by introducing and evaluating novel features designed to enhance the
